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Category Archives: J14

Elder Financial Fraud: The Economic and Ethical Case for Instituting Mandatory Reporting Laws in Financial Institutions

by Lauren Tse

Abstract

This study examines the effectiveness of the 2016 NASAA Model Act, specifically if states that implemented its provisions see greater levels of elder fraud reporting. This legal reform introduces reporting requirements for broker-dealers and investment advisers to report suspected elder fraud to government authorities, granting explicit immunity to those who comply. To analyze both the immediate and longer-term effects of the Model Act’s staggered passage across states, I use a dynamic Difference-in-Difference model to analyze institutionally reported elder fraud cases from the U.S. Department of Treasury’s Financial Crimes Enforcement Network. Regression findings suggest that the Model Act has a positive enabling effect, increasing the number of elder fraud reports filed by financial professionals. Further, I quantify the monetary losses associated with these fraud cases using self-reported data from the Federal Trade Commission’s Consumer Sentinel Network. In line with this ‘placebo’ dataset, I find that the passage of the Model Act — targeted at financial professionals — has inconclusive impacts on the number of self-reported elder fraud and no effect on the financial losses incurred.

Professor Kate Bundorf, Faculty Advisor
Professor Michelle Connolly, Faculty Advisor

JEL Codes: G28; K42; J14

Keywords: Elder Financial Fraud; NASAA Model Act; Mandatory Reporting Requirements

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The Implications of Population Aging for Economic Growth a Regional Comparative Study

By Paige Muggeridge

I use a reduced form regression model to determine the extent to which population aging accounts for economic growth in each of the nine regions of the world. Predominantly, I build upon the research of Bloom et al. (2010), which is central to formulating my regression equation. I separate the difference between each region’s average growth rate from the world average growth rate into demographic and non-demographic effects using the estimated coefficients. The results suggest that more economically developed regions have potentially benefited from population aging, while less economically developed regions have not.

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Advisor: Craig Burnside | JEL Codes: J1, J14, |  Tagged: Economic Growth, Economic Policy, Labor-force Participation, Life Expectancy, Population Aging, Retirement Age

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu